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gLinDA: A privacy-preserving, swarm learning toolbox for differential abundance analysis of microbiomes

Count data, such as gene expression and microbiome composition, play a significant role in various diseases, including cancer, obesity, inflammatory bowel disease, and mental health disorders. For instance, understanding the differences in microbial abundance between patients is essential for uncove...

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Principais autores: Leon Fehse, Mohammad Tajabadi, Roman Martin, Hajo Holzmann, Dominik Heider
格式: Artigo
語言:Inglês
出版: American Association for the Advancement of Science (AAAS) 2025-01-01
叢編:Computational and Structural Biotechnology Journal
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在線閱讀:http://www.sciencedirect.com/science/article/pii/S200103702500296X
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